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Classifying driver facial emotions

Suriani , Nor Surayahani and M.A, Hermila (2009) Classifying driver facial emotions. In: Proceedings Of Muceet 2009 Malaysian Technical Universities Conference On Enfineering And Technology, 20-22 June 2009, Kuantan, Pahang.

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Abstract

This paper describes the emotion recognition to determine the driver's conditions. The emotion recognition could be envisioned to sense the driver emotions automatically through a camera. Therefore, facial images were analyzed to extract the features to characterize the variations between facial emotions images. The features extraction techniques apply was Principal Component Analysis (PCA), this algorithm finds the principle components of the covariance matrix of a set of face images. Then, the eigenvalues component will be used as an input to the KNearest Neighbor (KNN) classifier. The facial expression recognition used to investigate the emotion and thus carry out an awareness system for drivers to perform an appropriate intervention system.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: emotions recognition; PCA
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics
Divisions: Faculty of Electrical and Electronic Engineering > Department of Computer Engineering
Depositing User: Khairunnisa Ahmad
Date Deposited: 04 Oct 2011 08:27
Last Modified: 04 Oct 2011 08:27
URI: http://eprints.uthm.edu.my/id/eprint/1958
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